IDEAS home Printed from https://ideas.repec.org/p/ags/uerstb/184305.html
   My bibliography  Save this paper

A Quarterly Econometric Model for Short-Term Forecasting of the U.S. Dairy Industry

Author

Listed:
  • Mosheim, Roberto

Abstract

No abstract is available for this item.

Suggested Citation

  • Mosheim, Roberto, 2012. "A Quarterly Econometric Model for Short-Term Forecasting of the U.S. Dairy Industry," Technical Bulletins 184305, United States Department of Agriculture, Economic Research Service.
    • Handle: RePEc:ags:uerstb:184305
    DOI: 10.22004/ag.econ.184305
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/184305/files/tb1932_1_.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.184305?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Julian M. Alston & Joseph V. Balagtas & Henrich Brunke & Daniel A. Sumner, 2006. "Supply and demand for commodity components: implications of free trade versus the AUSFTA for the US dairy industry ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 50(2), pages 131-152, June.
    2. Jesse, Ed & Schuelke, Jacob, 2002. "Forecasting Class III and Class IV Milk Prices," Staff Paper Series 453, University of Wisconsin, Agricultural and Applied Economics.
    3. Helmut Lütkepohl & Fang Xu, 2012. "The role of the log transformation in forecasting economic variables," Empirical Economics, Springer, vol. 42(3), pages 619-638, June.
    4. V. Premakumar & Sudhir Chaudhary, 1996. "Support Prices as Policy Tools in Dairy Industry: Issues in Theoretical Modeling," Center for Agricultural and Rural Development (CARD) Publications 96-wp151, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    5. Robert Engle, 2001. "GARCH 101: The Use of ARCH/GARCH Models in Applied Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 157-168, Fall.
    6. V. Premakumar & Sudhir Chaudhary, 1996. "Support Prices as Policy Tools in Dairy Industry: Issues in Theoretical Modeling," Food and Agricultural Policy Research Institute (FAPRI) Publications (archive only) 96-wp151, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    7. Bailey, Kenneth W., 2009. "Documentation of a Dynamic and Simultaneous Econometric Model of the U.S. Dairy Industry," Staff Paper Series 48653, Pennsylvania State University, Department of Agricultural Economics and Rural Sociology.
    8. Susie Miller, 1989. "The Outlook for Dairy Products," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 37(4), pages 1215-1220, December.
    9. Westcott, Paul C., 1986. "A Quarterly Model of U.S. Dairy Sector and Some of Its Policy Implications," Technical Bulletins 157018, United States Department of Agriculture, Economic Research Service.
    10. Jesse, Edward V. & Schuelke, Jacob, 2002. "Forecasting Class Iii And Class Iv Milk Prices," Staff Papers 12593, University of Wisconsin-Madison, Department of Agricultural and Applied Economics.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. MacDonald, James M. & Cessna, Jerry & Mosheim, Roberto, 2016. "Changing Structure, Financial Risks, and Government Policy for the U.S. Dairy Industry," Economic Research Report 262200, United States Department of Agriculture, Economic Research Service.
    2. Roel Jongeneel & Ana Gonzalez-Martinez, 2022. "EU Dairy after the Quota Abolition: Inelastic Asymmetric Price Responsiveness and Adverse Milk Supply during Crisis Time," Agriculture, MDPI, vol. 12(12), pages 1-16, November.
    3. MacLachlan, Matthew & Chelius, Carolyn & Short, Gianna, 2022. "Time-Series Methods for Forecasting and Modeling Uncertainty in the Food Price Outlook," USDA Miscellaneous 327370, United States Department of Agriculture.
    4. Jongeneel, Roel & Gonzalez-Martinez, Ana Rosa, 2022. "The role of market drivers in explaining the EU milk supply after the milk quota abolition," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 194-209.
    5. Mosheim, Roberto & Blaney, Don & Burdine, Kenneth H. & Maynard, Leigh J., 2014. "Livestock Gross Margin-Dairy Insurance: An Assessment of Risk Management and Potential Supply Impacts," Economic Research Report 164606, United States Department of Agriculture, Economic Research Service.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Leudjou, Roland R., 2012. "The Doha Round and Food Security in the Dairy Sector in Cameroon: A Global Simulation Model (GSIM) Approach," Estey Centre Journal of International Law and Trade Policy, Estey Centre for Law and Economics in International Trade, vol. 13(1), pages 1-16, April.
    2. Jacques Jaussaud & Serge Rey, 2012. "Long‐Run Determinants Of Japanese Exports To China And The United States: A Sectoral Analysis," Pacific Economic Review, Wiley Blackwell, vol. 17(1), pages 1-28, February.
    3. Buscher, Herbert S. & Gabrisch, Hubert, 2011. "What Might Central Banks Lose or Gain in Case of Euro Adoption – A GARCH-Analysis of Money Market Rates for Sweden, Denmark and the UK," IWH Discussion Papers 9/2011, Halle Institute for Economic Research (IWH).
    4. Chlebus Marcin, 2017. "EWS-GARCH: New Regime Switching Approach to Forecast Value-at-Risk," Central European Economic Journal, Sciendo, vol. 3(50), pages 01-25, December.
    5. Torben G. Andersen & Tim Bollerslev & Peter Christoffersen & Francis X. Diebold, 2007. "Practical Volatility and Correlation Modeling for Financial Market Risk Management," NBER Chapters, in: The Risks of Financial Institutions, pages 513-544, National Bureau of Economic Research, Inc.
    6. Tully, Edel & Lucey, Brian M., 2007. "A power GARCH examination of the gold market," Research in International Business and Finance, Elsevier, vol. 21(2), pages 316-325, June.
    7. Siddiqi, Hammad, 2007. "Rational Interacting Agents and Volatility Clustering: A New Approach," MPRA Paper 2984, University Library of Munich, Germany.
    8. Matthew S. Yiu, 2011. "The Effect of Capital Flow Management Measures in Five Asian Economies on the Foreign Exchange Market," Working Papers 412011, Hong Kong Institute for Monetary Research.
    9. Liviu-Stelian BEGU & Silvia Spataru & Erika Marin, 2012. "Investigating The Evolution Of Ron/Eur Exchange Rate: The Choice Of Appropriate Model," Journal of Social and Economic Statistics, Bucharest University of Economic Studies, vol. 1(2), pages 23-39, DECEMBER.
    10. Jeon, Sanggon & Lee, Jungmin & Chai, Sanghyen & Lee, Hyungwoo, 2010. "Economic Impacts Of The Law Of Cattle And Beef Traceability In Marketing Channels On The Domestic Hanwoo Beef Industry," Journal of Rural Development/Nongchon-Gyeongje, Korea Rural Economic Institute, vol. 33(2), pages 1-24, July.
    11. Constantin ANGHELACHE & Madalina Gabriela ANGHEL, 2015. "Theoretical aspects concerning the use of the statistical-econometric instruments the analysis of the financial assets," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 63(9), pages 44-48, September.
    12. Julia S. Mehlitz & Benjamin R. Auer, 2021. "Time‐varying dynamics of expected shortfall in commodity futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(6), pages 895-925, June.
    13. Abdelkader Derbali & Slaheddine Hallara & Aida Sy, 2016. "Athen's game of chicken or the conditional dependence between the Greek banks," International Journal of Economics and Accounting, Inderscience Enterprises Ltd, vol. 7(1), pages 1-26.
    14. Ewing, Bradley T. & Malik, Farooq, 2016. "Volatility spillovers between oil prices and the stock market under structural breaks," Global Finance Journal, Elsevier, vol. 29(C), pages 12-23.
    15. Allen, David E. & Amram, Ron & McAleer, Michael, 2013. "Volatility spillovers from the Chinese stock market to economic neighbours," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 238-257.
    16. Cristina Belciuganu, 2009. "Spillover effect: A study for major capital markets and Romania capital market," Advances in Economic and Financial Research - DOFIN Working Paper Series 29, Bucharest University of Economics, Center for Advanced Research in Finance and Banking - CARFIB.
    17. Francois John Nana, 2020. "Foreign official holdings of US treasuries, stock effect and the economy: a DSGE approach," The B.E. Journal of Macroeconomics, De Gruyter, vol. 20(1), pages 1-28, January.
    18. Cristi SPULBAR & Ramona BIRAU & Jatin TRIVEDI & Mircea Laurentiu SIMION & Rachana BAID, 2023. "Assessing Volatility Patterns using GARCH Family Models: A Comparative Analysis Between the Developed Stock Markets in Italy and Poland," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 1, pages 5-11.
    19. Shehu Usman Rano, Aliyu, 2010. "Does inflation has an Impact on Stock Returns and Volatility? Evidence from Nigeria and Ghana," MPRA Paper 30091, University Library of Munich, Germany, revised 19 Mar 2011.
    20. Mazin A.M. Al Janabi, 2012. "Risk Management in Trading and Investment Portfolios," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 11(2), pages 189-229, August.

    More about this item

    Keywords

    Livestock Production/Industries;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:uerstb:184305. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/ersgvus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.